AgenticInvestor

Indonesia Consumer Confidence Index

Indonesia · Monthly series · EC-ID-CCI

Latest, October 2026

119.9%

+1.80pp from September 2026

Open interactive chartIndonesia Consumer Confidence Index in the app

134.5105.977.3November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 119.7%, with an 80% interval of 113.2% to 123.6%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026120.4%114.4%125.9%
December 2026120.5%109.1%130.5%
January 2027120.7%115.0%125.2%
February 2027120.6%115.0%125.1%
March 2027120.4%113.9%125.4%
April 2027120.3%108.1%129.2%
May 2027120.1%101.3%133.3%
June 2027120.0%97.6%134.5%
July 2027119.8%109.0%126.8%
August 2027119.7%108.8%126.6%
September 2027119.6%111.5%124.5%
October 2027119.7%113.2%123.6%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
0%Matches the no-change baseline over 10 tests (10 tests, 7 won)
Direction
57%No clear edge over a coin flip (68 of 119 calls right in 10 tests)
Turning points
22 of 56Anticipated some turns (56 turns in 10 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
7 / 10Complete rolling backtests; ties count as no win.
Test period
2016-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
83%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 37% of the 119 earlier readings since November 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
October 2026119.9%
September 2026118.1%
August 2026118.5%
July 2026116.8%
June 2026117.8%
May 2026120.9%
April 2026123.0%
March 2026122.9%
February 2026125.2%
January 2026127.0%
December 2025123.5%
November 2025124.0%
October 2025121.2%
September 2025115.0%
August 2025117.2%
July 2025118.1%
June 2025117.8%
May 2025117.5%
April 2025121.7%
March 2025121.1%
February 2025126.4%
January 2025127.2%
December 2024127.7%
November 2024125.9%

Source

Data: public market data feeds.

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